As we know OpenCV is a widely used library for image processing. It provides a wide sense of image processing. Let’s see how to create video using multiple images using OpenCV.
Install the following libraries:
PIL
cv2
Also, check the path before running the code otherwise you will be full with errors.
How it works ?
Using PIL library we are opening images and resizing them to their mean_height and mean_width because the video which will be created using cv2 library required the input images of same height and width.
Resized images are included in an array and frame of video is set with the mean_height and mean_width. Then by looping, we are appending each image to that frame.
Below is the implementation :
# importing librariesimport osimport cv2 from PIL import Image # Checking the current directory pathprint(os.getcwd()) # Folder which contains all the images# from which video is to be generatedos.chdir("C:\\Python\\Geekfolder2") path = "C:\\Python\\Geekfolder2" mean_height = 0mean_width = 0 num_of_images = len(os.listdir('.'))# print(num_of_images) for file in os.listdir('.'): im = Image.open(os.path.join(path, file)) width, height = im.size mean_width += width mean_height += height # im.show() # uncomment this for displaying the image # Finding the mean height and width of all images.# This is required because the video frame needs# to be set with same width and height. Otherwise# images not equal to that width height will not get # embedded into the videomean_width = int(mean_width / num_of_images)mean_height = int(mean_height / num_of_images) # print(mean_height)# print(mean_width) # Resizing of the images to give# them same width and height for file in os.listdir('.'): if file.endswith(".jpg") or file.endswith(".jpeg") or file.endswith("png"): # opening image using PIL Image im = Image.open(os.path.join(path, file)) # im.size includes the height and width of image width, height = im.size print(width, height) # resizing imResize = im.resize((mean_width, mean_height), Image.ANTIALIAS) imResize.save( file, 'JPEG', quality = 95) # setting quality # printing each resized image name print(im.filename.split('\\')[-1], " is resized") # Video Generating functiondef generate_video(): image_folder = '.' # make sure to use your folder video_name = 'mygeneratedvideo.avi' os.chdir("C:\\Python\\Geekfolder2") images = [img for img in os.listdir(image_folder) if img.endswith(".jpg") or img.endswith(".jpeg") or img.endswith("png")] # Array images should only consider # the image files ignoring others if any print(images) frame = cv2.imread(os.path.join(image_folder, images[0])) # setting the frame width, height width # the width, height of first image height, width, layers = frame.shape video = cv2.VideoWriter(video_name, 0, 1, (width, height)) # Appending the images to the video one by one for image in images: video.write(cv2.imread(os.path.join(image_folder, image))) # Deallocating memories taken for window creation cv2.destroyAllWindows() video.release() # releasing the video generated # Calling the generate_video functiongenerate_video() |
Output:
Get the link to the input images used and output video from here.
Better alternatives:
If we want more effects, sound with the video then it will be good to use the ffmpeg python library which offers this kind of functionalities.
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